基于改进遗传算法的不锈钢混合硬化模型参数快速标定方法 by 郑帅, 周锋

“…提出的改进自适应遗传算法相较两种常用的传统标定方法以及基本遗传算法（simple genetic algorithm，SGA）具有更好的计算效率和精度，且与多种加载制度试验结果吻合良好。…”
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HOC Based Blind Identification of Hydroturbine Shaft Volterra System by Bing Bai, Lixiang Zhang

“…When using optimization method to identify the time domain kernels, we combined the traditional optimization algorithm (direct search method) with genetic algorithm (GA) and constituted the hybrid genetic algorithm (HGA). …”
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A Class of Expected Value Bilevel Programming Problems with Random Coefficients Based on Rough Approximation and Its Application to a Production-Inventory System by Liming Yao, Jiuping Xu

“…Then an interactive programming method and genetic algorithm are utilized to solve the crisp model. …”
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Multiobjective-Optimized Design of a New UWB Antenna for UWB Applications by C. Moreno de Jong van Coevorden, M. Fernández Pantoja, Salvador G. García, A. Rubio Bretones, R. Gómez-Martín, K. Palmer

“…A multiobjective genetic algorithm has been applied to design a new printed, bow-tie antenna for ultrawideband applications, that is, ground penetrating radar, short range and high data rate communications, and so forth. …”
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Evaluation Method of Regional Water Resources Carrying Capacity Based on Connection Number by DONG Tao

“…,carrying ability system,carrying pressure system and regulation ability system),calculates the subjective weights of evaluation indexes by correcting analytic hierarchy process based on accelerating genetic algorithm (AGA-CAHP),the objective weights of evaluation indexes by projection pursuit based on accelerating genetic algorithm (AGA-PP) and the combined weights of evaluation indexes by the principle of minimum relative information entropy,obtains the connection number of regional water resources carrying capacity by improved set pair analysis based on grey correlation analysis,and then establishes a set pair analysis evaluation model for regional water resources carrying capacity based on entropy principles,combined weights and grey correlation analysis,and finally applies the model in Anhui Province.The results show that the water resources carrying capacity of Anhui Province was in the critical overload from 2005 to 2015,while that was gradually increasing from 2012 to 2015,with the southern region stronger than the northern region.The evaluation results accorded with the actual situation.Therefore,the model can fully integrate the subjective experience information and objective information in the evaluation process,with reasonable results.It has great application value in the comprehensive evaluation of regional resources and environmental carrying capacity.…”
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A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances by Jinlin Liao, Feng Zhang, Shiwen Zhang, Cheng Gong

“…This paper proposes a Modified Genetic Algorithm-Gate Recurrent Unit (MGA-GRU) method, which is a real-time TTR method based on deep learning. …”
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An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network by Tianye Xing, Yidan Wang, Yingxue Liu, Qi Wu, Rong Ma, Xiaoling Shang

“…On the basis of previous work, the genetic algorithm and fuzzy theory were introduced as optimization tools, and a new neural network training algorithm was constructed by combining genetic algorithm, fuzzy theory, and neural network technology for structural health monitoring research. …”
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TEC Data Forecasting Using a Novel Nonlinear Model by Jun Wang, Bihua Zhou, Shudao Zhou

“…A novel nonlinear TEC forecasting model is proposed in the paper; the main produces of the model are as follows: first the EOF decomposition of TEC data is made, then the genetic algorithm is used to establish the nonlinear time field model, and finally the decomposed space field and the predicted time field are reconstructed to achieve the purpose of forecasting the TEC data. …”
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Inverse Estimates for Nonhomogeneous Backward Heat Problems by Tao Min, Weimin Fu, Qiang Huang

“…We show that this problem can be converted into the first Fredholm integral equation, and an algorithm of inversion is given using Tikhonov's regularization method. The genetic algorithm for obtaining the regularization parameter is presented. …”
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Structure Optimization and Test of the Tapered Roller Bearing based on the Decrease of Friction Torque by Mo Yimin, Wang Junping, Chai Shufeng

“…With the target of reducing the friction torque of tapered roller bearing,the globally optimal solution of bearing inner structural parameters is obtained by using the genetic algorithm.The friction torque,gearbox transmission efficiency,and vehicle fuel consumption and sliding distance are tested before and after the bearings are optimized.The results show that,the bearing friction torque is reduced,the gearbox transmission efficiency is increased,and the vehicle fuel consumption is slightly decreased while the vehicle sliding distance is highly improved.…”
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Synthesis of Multicriteria Controller by Means of Fuzzy Logic Approach by Andrew Lozynskyy, Lyubomyr Demkiv

“…To find optimal values of membership function’s parameters, genetic algorithm is used. To take into account values of both output and intermediate parameters of the system, a penalty function is considered. …”
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Tracing Mechanism of Sports Competition Pressure Based on Backpropagation Neural Network by Huayu Zhao, Shaonan Liu

“…Analyzing the sources of stress and influencing factors of athletes can find measures to relieve and reduce stress and provide theoretical reference for the regulation of athletes’ competition pressure. Based on genetic algorithm and neural network theory, this paper proposes a method of tracing the sports competition pressure based on genetic algorithm backpropagation (BP) neural network to solve the problem that traditional neural network learning algorithm is slow and easy to fall into local minimum. …”
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Improved AC-GA based data association method for multi-target tracking by YUAN Dong-hui1, LIU Da-you1, SHEN Shi-qun1

“…An AC-GADA（ant colony-genetic algorithm data association） algorithm was proposed to deal with the data as-sociation problem for multi-target tracking.This algorithm designed difference pheromone for each ant and improved global pheromone increment model,and combined crossover and mutation strategy with fitness of population model in or-der to improve rate of convergence and avoid the appearance of local extremum.The comparison with ACDA（ant colony data association） and JPAD（joint pobabilistic data association） proved its efficiency and superiority.…”
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Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge by Yourim Yoon, Yong-Hyuk Kim

“…A real-coded genetic algorithm is used to schedule the charging of an energy storage system (ESS), operated in tandem with renewable power by an electricity consumer who is subject to time-of-use pricing and a demand charge. …”
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Hierarchical Sliding Mode Algorithm for Athlete Robot Walking by Van Dong Hai Nguyen, Xuan-Dung Huynh, Minh-Tam Nguyen, Ionel Cristian Vladu, Mircea Ivanescu

“…A new method based on hierarchical sliding mode for controlling postures is also introduced. Genetic algorithm is applied to design the oscillator for robot motion. …”
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Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding by Ming-Yi Ju, Siao-En Wang, Jian-Horn Guo

“…To solve the problem of hybrid genetic algorithm and particle swarm optimization, the “dummy node” is added into the binary trees to deal with the different lengths of representations. …”
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Two-Echelon Location-Routing Problem with Time Windows and Transportation Resource Sharing by Yong Wang, Yaoyao Sun, Xiangyang Guan, Yanyong Guo

“…Moreover, 20 small-scale instances are used for an algorithm comparison with multiobjective genetic algorithm and nondominated sorting genetic algorithm-II, and the solutions demonstrate the superiority of the proposed algorithm in optimizing logistics networks. …”
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Integrated Optimization of Mixed Cargo Packing and Cargo Location Assignment in Automated Storage and Retrieval Systems by Bin Lei, Zhaoyuan Jiang, Haibo Mu

“…An improved hybrid genetic algorithm based on a group coding method is designed to solve the problem. …”
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Optimization Control of Cooperative Trajectory towards Dual Arms Based on Time-Varying Constrained Output State by Hui Zhang, Wenbin Zha, Xiangrong Xu, Yongfei Zhu

“…At the same time, it is combined with an elite retention genetic algorithm to further optimize the target. Based on the disturbance and tracking problem, a PD control method based on time-varying constrained output state is proposed, and the control law is designed. …”
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An Equilibrium Chance-Constrained Multiobjective Programming Model with Birandom Parameters and Its Application to Inventory Problem by Zhimiao Tao, Jiuping Xu

“…By embedding the birandom simulation technique, a modified genetic algorithm is designed to solve the equilibrium chance-constrained multiobjective programming model. …”
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